With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

Educators and technology developers are uniting proven instructional design principles with AI-driven tools to create more interactive and effective visual learning materials. Using cognitive load ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By combining feature extraction, joint embedding, and advanced ...

In the dynamic landscape of learning in the digital age, K-12 educators are increasingly leveraging technology tools to enhance teaching and learning experiences. These tools, ranging from interactive ...